Deploy a workspace with an ARM template

This article explains how to create an Azure Databricks workspace using an ARM template.

An ARM template is a JavaScript Object Notation (JSON) file that defines the infrastructure and configuration for your project. The template uses declarative syntax, which lets you state what you intend to deploy without having to write the sequence of programming commands to create it.

If your environment meets the prerequisites and you’re familiar with using ARM templates, select the Deploy to Azure button. The template will open in the Azure portal.

Review the template

The template used in this quickstart is from Azure Quickstart Templates.

{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "metadata": {
    "_generator": {
      "name": "bicep",
      "version": "0.5.6.12127",
      "templateHash": "14509124136721506545"
    }
  },
  "parameters": {
    "disablePublicIp": {
      "type": "bool",
      "defaultValue": false,
      "metadata": {
        "description": "Specifies whether to deploy Azure Databricks workspace with Secure Cluster Connectivity (No Public IP) enabled or not"
      }
    },
    "workspaceName": {
      "type": "string",
      "metadata": {
        "description": "The name of the Azure Databricks workspace to create."
      }
    },
    "pricingTier": {
      "type": "string",
      "defaultValue": "premium",
      "allowedValues": [
        "standard",
        "premium"
      ],
      "metadata": {
        "description": "The pricing tier of workspace."
      }
    },
    "location": {
      "type": "string",
      "defaultValue": "[resourceGroup().location]",
      "metadata": {
        "description": "Location for all resources."
      }
    }
  },
  "variables": {
    "managedResourceGroupName": "[format('databricks-rg-{0}-{1}', parameters('workspaceName'), uniqueString(parameters('workspaceName'), resourceGroup().id))]"
  },
  "resources": [
    {
      "type": "Microsoft.Databricks/workspaces",
      "apiVersion": "2018-04-01",
      "name": "[parameters('workspaceName')]",
      "location": "[parameters('location')]",
      "sku": {
        "name": "[parameters('pricingTier')]"
      },
      "properties": {
        "managedResourceGroupId": "[subscriptionResourceId('Microsoft.Resources/resourceGroups', variables('managedResourceGroupName'))]",
        "parameters": {
          "enableNoPublicIp": {
            "value": "[parameters('disablePublicIp')]"
          }
        }
      }
    }
  ],
  "outputs": {
    "workspace": {
      "type": "object",
      "value": "[reference(resourceId('Microsoft.Databricks/workspaces', parameters('workspaceName')))]"
    }
  }
}

The Azure resource defined in the template is Microsoft.Databricks/workspaces: create an Azure Databricks workspace.

Deploy the template

In this section, you create an Azure Databricks workspace using an ARM template.

• Use the provided link to sign in to Azure and open a template.

• Provide the following required values to create your Azure Databricks workspace:

  Property	Description
  Subscription	From the drop-down, select your Azure subscription.
  Resource group	Specify whether you want to create a new resource group or use an existing one. A resource group is a container that holds related resources for an Azure solution. For more information, see Azure Resource Group overview.
  Location	Select East US 2. For other available regions, see Azure services available by region.
  Workspace name	Provide a name for your Databricks workspace
  Pricing Tier	Choose between Standard or Premium. For more information on these tiers, see Databricks pricing page.

• Select Review + Create, then Create.

• The workspace creation takes a few minutes. When a workspace deployment fails, the workspace is still created in a failed state. Delete the failed workspace and create a new workspace that resolves the deployment errors. When you delete the failed workspace, the managed resource group and any successfully deployed resources are also deleted.

Review deployed resources

You can either use the Azure portal to check the Azure Databricks workspace or use the following Azure CLI or Azure PowerShell script to list the resource.

Azure CLI

echo "Enter your Azure Databricks workspace name:" &&
read databricksWorkspaceName &&
echo "Enter the resource group where the Azure Databricks workspace exists:" &&
read resourcegroupName &&
az databricks workspace show -g $resourcegroupName -n $databricksWorkspaceName

Azure PowerShell

$resourceGroupName = Read-Host -Prompt "Enter the resource group name where your Azure Databricks workspace exists"
(Get-AzResource -ResourceType "Microsoft.Databricks/workspaces" -ResourceGroupName $resourceGroupName).Name
 Write-Host "Press [ENTER] to continue..."